Cognitive Assessment in Children Through Motion Capture and Computer Vision: the Cross-Your-body Task.
International Workshop on Sensor-based Activity Recognition and Interaction (iWOAR)（2019）
Univ Texas Arlington | Yale Univ
Abstract
This paper focuses on creating video-based human activity recognition methods towards an automated cognitive assessment system for children. We present the Activate Test for Embodied Cognition (ATEC), which assesses executive functioning in children through physical/cognitive tasks. Detecting activities for children is challenging due to high amount of random motion and variability. This paper focuses on creating a ubiquitous and non-intrusive activity recognition system for upper-body movements. Our proposed methods are evaluated on real-world data from children performing the Cross-your-Body task. The dataset includes 15 children performing 8 types of activities, resulting to 1900 annotated video samples.
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Key words
Human Activity Recognition,Body Pose Features,Cognitive Assessment
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